System and method for diagnostic analysis of human body systems, organs, and cells

ABSTRACT

A system and method for providing diagnostic analysis of a physical condition of a human body. A signal generator, an emitter, a receiver, and processor(s) generate a baseline signal. In some implementations, the emitter may emit the baseline signal through cells of the human body over scanning points for a predetermined amount of time, and a receiver detects reflected signals that have propagated through the cells of the human body. Some implementations include determining, by the one or more processors, a power spectrum density (PSD) of the reflected baseline signal and a spectral variance in the PSD of the reflected baseline signal relative to the baseline signal. Some implementations may compare the spectral variance to one or more predetermined spectral variances corresponding to one or more conditions of the human body and determine the condition of the human body, based on the comparison.

RELATED APPLICATION

This patent application claims the benefit of Indian Patent ApplicationNo. 201911029722 filed on Jul. 23, 2019, entitled “SYSTEM AND METHOD FORDIAGNOSTIC ANALYSIS OF HUMAN BODY SYSTEMS, ORGANS, AND CELLS, naming asinventor Nandan KUNDETKAR, which is incorporated by reference.

BACKGROUND

Field

The present disclosure pertains to a system and method for diagnosticanalysis of human body systems, organs, and cells.

Description of the Related Art

Diagnostic testing systems for diagnostic analysis of human bodysystems, organs, and cells are known. Diagnostic testing methodsutilizing various methodologies ranging from bodily fluid collection invarious formats and volumes, bodily electrical activity (e.g., EMG andECG), static and dynamic imaging (e.g., MRI and Doppler ultrasound) arealso known. However, previous solutions are time-consuming, costly, andinvasive to the patient.

SUMMARY

Accordingly, one or more aspects of the present disclosure relate to asystem for providing diagnostic analysis for a physical condition of thehuman body. In some implementations the system may include a signalgenerator, an emitter, a receiver, and one or more processors incommunication with a memory having non-transitory computer readableinstructions stored thereon that when executed by the one or moreprocessors cause the system to generate, by the signal generator, abaseline signal. In some implementations the system emits, utilizing theemitter, the baseline signal through one or more cells of the human bodyover a plurality of scanning points for a predetermined amount of time.In some implementations, the system may receive, by the receiver, one ormore reflected signals that have propagated through the one or morecells of the human body and determine, by the one or more processors, apower spectrum density (PSD) of the reflected baseline signal. In someimplementations, the system may determine, by the one or moreprocessors, a spectral variance in the PSD of the reflected baselinesignal relative to the baseline signal and compare, by the one or moreprocessors, the spectral variance to one or more predetermined spectralvariances corresponding to one or more physical conditions of the humanbody. In some implementations, the system may determine, by the one ormore processors, the condition of the human body, based on thecomparison and transmit a report indicating the condition of the humanbody to a clinician, and/or other users.

Some implementations relate to a method for providing diagnosticanalysis for a physical condition of the human body utilizing a system.In some implementations, the system may include a signal generator, anemitter, a receiver, and one or more processors in communication with amemory having non-transitory computer readable instructions storedthereon. In some implementations, the one or more processors execute thenon-transitory computer readable instructions and cause the system toexecute the method. In some implementations, the method includesgenerating, by the signal generator, a baseline signal. In someimplementations, the method includes emitting, utilizing the emitter,the baseline signal through one or more cells of the human body over aplurality of scanning points for a predetermined amount of time. In someimplementations, the method may include receiving, by the receiver, oneor more reflected signals that have propagated through the one or morecells of the human body and determining, by the one or more processors,a power spectrum density (PSD) of the reflected baseline signal. In someimplementations, the method may include determining, by the one or moreprocessors, a spectral variance in the PSD of the reflected baselinesignal relative to the baseline signal and comparing, by the one or moreprocessors, the spectral variance to one or more predetermined spectralvariances corresponding to one or more physical conditions of the humanbody. In some implementations, the method may determine, by the one ormore processors, the physical condition of the human body, based on thecomparison and transmit a report indicating the condition of the humanbody to a clinician and/or other users.

These and other objects, features, and characteristics of the presentdisclosure, as well as the methods of operation and functions of therelated elements of structure and the combination of parts and economiesof manufacture, will become more apparent upon consideration of thefollowing description and the appended claims with reference to theaccompanying drawings, all of which form a part of this specification,wherein like reference numerals designate corresponding parts in thevarious figures. It is to be expressly understood, however, that thedrawings are for the purpose of illustration and description only andare not intended as a definition of the limits of the disclosure.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1 is a schematic representation of a system for diagnostic analysisin accordance with one or more implementations;

FIG. 2 is a schematic representation of an exemplary signal generatorused for a diagnostic analysis in accordance with one or moreimplementations;

FIG. 3 is a schematic representation of exemplary circuitry for adiagnostic analysis probe device in accordance with one or moreimplementations;

FIG. 4 is a schematic representation of a baseline signal and reflectedsignal in accordance with one or more implementations;

FIG. 5 is a schematic representation of a system for diagnostic analysissystem in accordance with one or more implementations; and

FIG. 6 depicts a method for diagnostic analysis in accordance with oneor more implementations.

DETAILED DESCRIPTION OF EXEMPLARY IMPLEMENTATIONS

The present invention will now be described in detail with reference tothe drawings, which are provided as illustrative examples of theinvention so as to enable those skilled in the art to practice theinvention. Notably, the figures and examples below are not meant tolimit the scope of the present invention to a single implementation, butother implementations are possible by way of interchange of some or allof the described or illustrated elements.

Moreover, where certain elements of the present invention can bepartially or fully implemented using known components, only thoseportions of such known components that are necessary for anunderstanding of the present invention will be described, and detaileddescriptions of other portions of such known components will be omittedso as not to obscure the invention. As used herein, the singular form of“a”, “an”, and “the” include plural references unless the contextclearly dictates otherwise. As used herein, the statement that two ormore parts or components are “coupled” shall mean that the parts arejoined or operate together either directly or indirectly (i.e., throughone or more intermediate parts or components, so long as a link occurs).

Implementations described as being implemented in hardware should not belimited thereto, but can include implementations implemented insoftware, or combinations of software and hardware, and vice-versa, aswill be apparent to those skilled in the art, unless otherwise specifiedherein. In the exemplary implementations described herein, animplementation showing a singular component should not be consideredlimiting; rather, the invention is intended to encompass otherimplementations including a plurality of the same component, andvice-versa, unless explicitly stated otherwise herein. Moreover,applicants do not intend for any term in the specification or claims tobe ascribed an uncommon or special meaning unless explicitly set forthas such. Further, the present invention encompasses present and futureknown equivalents to the known components referred to herein by way ofillustration.

As used herein, “directly coupled” means that two elements are directlyin contact with each other. As used herein, “fixedly coupled” or “fixed”means that two components are coupled so as to move as one whilemaintaining a constant orientation relative to each other. As usedherein, “operatively coupled” means that two elements are coupled insuch a way that the two elements function together. It is to beunderstood that two elements “operatively coupled” does not require adirect connection or a permanent connection between them.

As used herein, the word “unitary” means a component is created as asingle piece or unit. That is, a component that includes pieces that arecreated separately and then coupled together as a unit is not a“unitary” component or body. As employed herein, the statement that twoor more parts or components “engage” one another shall mean that theparts exert a force against one another either directly or through oneor more intermediate parts or components. As employed herein, the term“number” shall mean one or an integer greater than one (i.e., aplurality). Directional phrases used herein, such as, for example andwithout limitation, top, bottom, left, right, upper, lower, front, back,and derivatives thereof, relate to the orientation of the elements shownin the drawings and are not limiting upon the claims unless expresslyrecited therein.

The human body and constituent systems, organs, and cells, from adiagnostic perspective, are currently quantified and qualified in anumber of different ways. Qualitative and quantitative measurement isdone both to determine variances or stasis of determined values. If adeterioration from the established values of norms occurs (e.g.,deviation of glucose from an average norm of 5.5 mmol/L) speculationoccurs with a hybrid of both symptom analysis and further testing, whichoften leads to more speculation and repetition of this same cycle. Thisis inefficient with time, costly, and invasive to the patient.

Current testing modalities are time consuming, invasive, and presentdiscomfort to the patient. One or more embodiments described hereinprovide diagnostic testing with zero administration of any substance tothe patient and without requiring any sample collection from thepatient. For example, in some tests the patient is required to havepre-exposure to some fluids either consumed orally intravenously.Results are obtained as color values rather to be interpreted for anabnormality instead of identifying specifically the abnormality. Indisplays the colors are in the combination of R-G-B or Y-U-V the same innon-display form can be based on the numeric value on a logarithmicscale based on a multibit form of the color values. Note that evenbefore the display which comes on the screen which is a static image orvariable image is derived out of multibit resolution coming at someoutput level. Mainly any input to output level time to time will varybased on the treatment results to come in due course. For example, anyparticular abnormality inputs and outputs are never changed nor itsprocessing in between. What changes is that at some level instead of oneabnormality a few more or found which would be derived by finding moresteps in the resolutions, in time to come to grasp the same and findmore values in processing and giving results at the output.

One or more embodiments include input, processing, and outputparameters, which are so well controlled that defining any variationwith abnormalities would not require any interphase system change or theinput probe device. For example, while one may be examining anabnormality in the liver the effects could also be seen in the pancreas.Immediately the input has the provision to enhance inputs by virtue ofresolution change and same would be at process and output level. Whatwill change is probably the degree of severity or another abnormality ordisease condition if there are two distinct identifiable abnormalitieswithin the same system or outside of the same system due to systemicinteraction of the whole body. For example, the system may includecardiac and endocrine systems.

While previous diagnostic methodology includes speculative testing andspeculation about symptoms, one or more implementations describe hereinprovide a diagnostic analysis system and method that dramaticallyincrease diagnostic analysis capabilities in terms of time, immediatecollaboration with other specialists, and is non-invasive to the humanbody (i.e., zero bodily fluid collection including blood, and/or no needto perform other invasive procedures). Some implementations describedherein facilitate instant collaboration anywhere in the world with anyspecialist with real time results right in the doctor's office. Asdiscussed in detail below, some implementations may implement a bottomup approach at the most consequential level (e.g. cellular, DNA and RNAanalysis) for diagnostic analysis utilizing a diagnostic probe devicethe size of magic marker (as one non-limiting example) interfacing witha diagnostic analysis server that is web based and thus can be utilizedcomputers across the world.

Referring now to FIG. 1, FIG. 1 depicts an exemplary diagnostic analysissystem 100 in accordance with one or more implementations. Diagnosticanalysis system 100 may include probe device 110 in communication withweb-based server processors 120, and external resources and/orelectronic storage 130. As shown in FIG. 1, probe device 110 may, insome implementations, include emitter 112, dielectric 113, receiver 114,and probe controller 116. Emitter 112 may emit a baseline signal 101.For example, signal generator 118 may generate baseline signal 101,which is communicated to emitter 112 for transmission into the cells ofthe human body, which is discussed in further detail below. Receiver 114may detect a reflected signal 103 and communicate signal 103 to probecontroller 116 which may then relay the signal 103 to server processors120.

In some implementations, probe controller 116 may be in communicationwith signal generator 118 and includes one or more hardware processors(not shown in FIG. 1) and/or field and/or programmable gate arrays(FPGA) that execute non-transitory machine-readable instruction in orderto carry out the exemplary implementations described herein. In someimplementations, non-transitory machine-readable instructions may behardcoded in probe controller 116 and/or server processors 120 (e.g.,Firmware, BIOS, Bootstrap, and the like).

As shown in FIG. 1, server processor 120 may be in communication withserver memory 122. Server memory 122 may store non-transitorymachine-readable instructions that when executed by server processors120 carry out the exemplary implementations described herein. In someimplementations, server processors 120 are in wireless communication toprobe device 110. Communication between probe device 110 and serverprocessors 120 may be, in some implementations, facilitated by awireless network (not shown), which may be implemented via a WAN/LANnetwork that is connected to the Internet via a hybrid fiber-optic cable(HFC) communication network provided by an Internet Service Provider(ISP). In some implementations, communication between probe device 110and server processors 120 may be implemented via a wirelesscommunication utilizing NFC, BLUETOOTH, BLE, GSM, TDMA, CDMA, 3G, 4G,LTE, 5G, or any other wireless communication protocol capable ofestablishing wireless communication. In some implementations, serverprocessors 120 may be configured as one or more blade servers in serverrack as part of a data center or information handling system. In someimplementations, the functionality of server processors 120 is providedby processing components (e.g., processing circuitry of controller 116)of probe device 110, and/or other components of the present system.

In some implementations, probe controller 116 and/or server memory 122may comprise electronic storage media that electronically storesinformation. The electronic storage media of probe controller 116 and/orserver memory 122 may comprise one or both of system storage that isprovided integrally (i.e., substantially non-removable) with probedevice 110 and/or removable storage that is removably connectable serverprocessors 120, for example, a port (e.g., a USB port, a firewire port,etc.) or a drive (e.g., a disk drive, etc.). Controller 116 servermemory 122 may comprise one or more of optically readable storage media(e.g., optical disks, etc.), magnetically readable storage media (e.g.,magnetic tape, magnetic hard drive, floppy drive, etc.), electricalcharge-based storage media (e.g., EPROM, RAM, etc.), solid-state storagemedia (e.g., flash drive, etc.), cloud storage, and/or otherelectronically readable storage media. Controller 116 and/or servermemory 122 may store software algorithms, information determined byprocessors 120, information received receiver 114 and/or externalcomputing systems (not shown), and/or other information that enablessystem 100 to function as described herein

External resources and/or electronic storage 130 may include one or moreempirical databases (not shown). Empirical databases of electronicstorage 130 may include predetermined and spectral variances and powerspectral density corresponding to known conditions of the human bodyrelative to individual cells, which is discussed in further detailbelow. In some implementations, electronic storage 130 compriseselectronic storage media that electronically stores information (e.g.empirical databases). The electronic storage media of electronic storage130 may comprise one or both of system storage that is providedintegrally (i.e., substantially non-removable) with system 100, 500and/or removable storage that is removably connectable to system 100,500 via, for example, a port (e.g., a USB port, a firewire port, etc.)or a drive (e.g., a disk drive, etc.). Electronic storage 130 maycomprise one or more of optically readable storage media (e.g., opticaldisks, etc.), magnetically readable storage media (e.g., magnetic tape,magnetic hard drive, floppy drive, etc.), electrical charge-basedstorage media (e.g., EPROM, RAM, etc.), solid-state storage media (e.g.,flash drive, etc.), cloud storage, and/or other electronically readablestorage media. Electronic storage 130 may store software algorithms,information determined by processor(s)120 and/or controller 316,information received via probe device 110 and/or other computingsystems, and/or other information that enables system 100, 500 tofunction as described herein. Electronic storage 130 may be (in whole orin part) a separate component within system 100, 500, or electronicstorage 130 may be provided (in whole or in part) integrally with one ormore other components of system 100, 500 (e.g., server processors 120).

In some implementations, probe device 110 may comprise a wirelesshandheld device. In some embodiments, probe device 110 may be worn by auser and/or have other forms (e.g., the form of probe device 110 is notintended to be limiting). In some implementations, probe device 110 maybe dipolar in nature and emit an electromagnetic field facilitated bybaseline signal 101. For example, emitter 112 and receiver 114 may beseparated by dielectric 113. Dielectric 113 serves to separate sendingand receiving electromagnetic functionality of probe device 110 (e.g.emitter 112 and receiver 114). Doing so increases the accuracy ofdetected signals and thus increases the accuracy of determinations ofphysical conditions of the human body, as discussed in further detailbelow. Dielectric 113 may be and/or include any material that allowsprobe device 110 to function as described herein.

In some implementations, probe device 110 may be hard coded with a PLLpatch, which is discussed in further detail below. Probe controller 116and or signal generator 118 may comprise a system-on-a-chip (SoC)microcontroller having a size of 1 cm×1.5 cm×2 cm, for example. In someimplementations, probe device 110 may be a wireless handheld device thatmay be 15 cm in length and 5 cm circumference. In some embodiments,probe device 110 may be configured as a bracelet. In some embodiments,probe device 110 may have other form factors. The form factor of probedevice 110 is not intended to be limiting. In some implementations,probe device 110 may include emitter 112 and receiver 114 separated bydielectric 113.

As discussed in further detail below, probe device 110 may collect dataused for human body condition determinations, which may be facilitatedby scanning probe device 110 over a human body. The human bodyconditions may include medical ailments, injuries, diseases, infections,sicknesses, vital signs, and/or other conditions. In someimplementations, the total time for data collection by the probe device110 may be about 100 seconds as one non-limiting example. Probe device110 may in this manner detect a reflected signal 103 that is received byreceiver 114 and transmitted for diagnostic analysis to serverprocessors 120. Diagnostic analysis performed by server processors 120(and/or other more local computing devices operatively coupled to probedevice 110) may include determining results pertaining to one or morephysical conditions of the human body. In some implementations, serverprocessors 120 (and/or a local computing device) may include amulti-algorithmic, web based, software system that issues results in upto 90 seconds, for example (this length of time is not intended to belimiting). In some implementations processors 120 may issue results(e.g., human body condition determinations) and less than 90 seconds, ormore than 90 seconds.

Diagnostic analysis system 100 may generate an electromagnetic signaland field that propagates through the cells of the human body. And indoing so, transmit a reflected wave which backpropagates in thedirection of an incident angle to the reflected medium, which isdiscussed in further detail below. In some implementations, probe device110 may continuously scan for a predetermined amount of time and collecta predetermined number of (e.g., at least 2 billion) data points. Forexample, in one implementation, probe device 110 may scan for no morethan 100 seconds. In doing so, probe device 110 facilitates datacollection of billions of data points.

In some implementations, data collected from scanning points (e.g.,locations) over the human body may include eV data. This eV data mayinclude magnetic field perturbations corresponding to reflected signal103. Scanning points (e.g., the locations where the scanning occurred)and corresponding eV data are sent to server processors 120 where adatabase of normal eV values is measured against data collected from thepatient. In some implementations, the database may be housed byelectronic resources 130

For example, each and every human cell or any organism has a voltagepotential across its body. Similarly, any cell has a potentialdifference denoted by an eV value. When eV value corresponding thecell's voltage potential value remains unchanged, the particular. When alarge number of the cell values are going low, a pattern may beidentified in terms of the cell values coming from the region. Theregion can easily be determined when the data corresponds to the RNAposition. From there system 100 can analyze any hierarchy up or down(e.g. cell to organ to system and vice versa). Thus, when human cellsand their eV value found in amplitude is are as expected, this findingcorresponds to a determination that the cell organ is good. Because theeV of a cell is a small parameter, to increase accuracy, in someembodiments, system 100 may compare input/output signal 101/103 at thelevel of the Phase Difference and include calculations based onamplitude and phase.

In some implementations, signal generator 118 may generate baselinesignal 101. Baseline signal 101 may include data input sent in thefrequency domain. In some implementations, baseline signal 101 may beemitted such that for every time unit, T1, a resolution of time is usedas a stream of data sent in the time domain (e.g.,T1) and compared tothe same on its reverse path (i.e., reflected signal 103 is compared tobaseline signal 101) based on characteristics of the portion of thehuman body being measured, which is described in further detail below.In some implementations, any noise and/or error may be considered byconvolving the time domain signal back to the frequency domain andreemitting baseline signal 101, as discussed above. In someimplementations, probe controller 116 and signal generator 118 maydetect delay based on biological conditions of the human body and dropin signal levels. Both may be converted and compared on Phase Level as aSchrodinger Equation on the footprint of a Fourier Transform.

In some implementations, server processors 120 implement a phasecomparison as discussed above with probe device 110, held by a patientmerely acting as an emitter and a sensor (e.g., emitter 112, receiver114). For example, baseline signal 101 may be emitted from a first side105 of probe device 110 and received at a second side 107 proximate tofirst side 105. The return path 109, where baseline signal 101propagates through cells of the human body provides the differentstructure measurements in the reflected signal 103, which are on a phasescale as an angle of measurement on a Radian scale, which is discussedin further detail below.

Referring now to FIG. 2, FIG. 2 depicts an exemplary phase locked loop(PLL) signal generator fashioned as a feedback control system. PLL 218may include voltage-controlled oscillator (VCO) 202, frequency divider204, phase frequency detector (PFD) 206, charge pump 208, and filter210. In some implementations, VCO 202 may include one or more crystaloscillators, an LC circuit, a tank circuit, or other hardware and/orsoftware configured to generate a frequency modulated signal. In someimplementations, PLL signal generator 218 may utilize one or moreadditional frequency multipliers, adders, dividers, multiplexers, demux,data registers, and the like (not shown).

In some implementations, PLL 218 may function to compare the phases oftwo input signals (e.g., inputs 201 a and 201 b of PFD 206) andgenerates an error signal (e.g., output 203) that is proportional to thedifference between phases of the input signals. The error signal (i.e.,output of PFD 206) is then amplified via charge pump 208 and filteredutilizing loop filter 210. The filtered output signal, g(t), is thenused to drive VCO 202, which generates an output frequency 205. Theoutput frequency is then sent to frequency divider 204 and back to input201 b of PFD 206, thus producing a negative feedback loop as shown inFIG. 2.

In some implementations, phase frequency detector 206 may compare thephase at each input 201 a and 201 b and generate an error signal ϕ(t),which is proportional to the phase difference between the two inputs 201a and 201 b. Since the two inputs 201 are at the same frequency when theloop is locked, one output at twice the input frequency and an outputproportional to the cosine of the phase difference. The doubledfrequency component may be removed by a lowpass loop filter 210, forexample. Any phase difference then shows up as the control voltage tothe VCO, which may include a DC or slowly varying AC signal afterfiltering. Phase difference shows up when the output frequency 203drifts, the phase error signal, output 203, will increase, driving thefrequency of the signal in the opposite direction so as to reduce thephase error. Thus output 205 is locked to the frequency at the input201. Input 201 a may include a reference signal (e.g. REF input) and isusually derived from a crystal oscillator (not shown), which is verystable in frequency.

The key to the ability of a frequency synthesizer to generate multiplefrequencies is the divider 204 placed between the output and thefeedback input. This may be in the form of a digital counter (e.g.,counter 330 infra), with the output signal acting as a clock signal. Thecounter is preset to some initial count value and counts down at eachcycle of the clock signal. When it reaches zero, the counter outputchanges state and the count value is reloaded. PLL 218, because it isdigital in nature, is very easy to interface to other digital componentsor a microprocessor (e.g. 116). This allows the frequency output by thesynthesizer to be easily controlled by a digital system.

In some implementations, an exemplary PLL signal generator 218 mayoperate in accordance with the below description illustrating equationsgoverning a phase locked loop with an analog multiplier as the phasedetector and linear filter. For example, in some implementations, inputsignal 201 may be described as:

f1(θ1)(t))f1(θ1(t)),

and the output signal 203 at VCO 202 may be described as

f2(θ2(t))f2(θ2(t))

with phase

θ1(t), θ2(t)).

The functions

f1(θ), f2(θ)

may describe waveforms of signals (e.g., baseline signal 101). In someimplementations, PFD output signal 203 of phase detector 206 may begiven by

ϕ(t)=f1(θ1(t))f2(θ2(t)),

wherein

g(v)

is the sensitivity of VCO 202 and may be expressed in Hz/V ω, where ω isa free running frequency of VCO 202. For example, in someimplementations VCO 202 may output frequency ω at 14 GHz, or more.

In some implementations, loop filter 210 may provide filtering thesignal output by charge pump 202. Charge pump 202 may function toamplify the signal output by PFD 206 in order to provide signalconditioning functionality for accurate signal detection. In someimplementations, loop filter 210 may operate in accordance with thefollowing system of linear differential equations:

{dot over (x)}=Ax+bϕ(t), g(t);

g(t)=c*x

In some implementations, ϕ(t) may be an input of loop filter 210 andrepresents an initial state of the filter. The star symbol aboverepresents a conjugate transpose, wherein:

A=n−b(y)−matrix, x∈

^(n) , b∈

^(n) , c∈

^(n) , . . . x0∈

^(n).

Accordingly, in some implementations, the following system may describethe transfer function of the PLL signal generator 210: For example, VCO202 may oscillate at an angular frequency, ω_(out)

{dot over (x)}=Ax+bf1(θ1(t))f2(θ2(t)),

{dot over (θ)}2=ωfree+gv(c*x)

wherein θ0 is an initial phase shift.

In some implementations, the conjugate transpose may correspond to aFourier transform of a Gaussian function

f(x)≡e^(−ax) ²

may be described by the below equations:

$\begin{matrix}{{{\mathcal{F}_{x}\left\lbrack e^{- {ax}^{2}} \right\rbrack}(k)} = {\int_{- \infty}^{\infty}{e^{- {ax}^{2}}e^{{- 2}\; \pi \; i\; k\; x}d\; x}}} \\{= {\int_{- \infty}^{\infty}{{e^{- {ax}^{2}}\left\lbrack {{\cos \left( {2\; \pi \; k\; x} \right)} - {i\mspace{11mu} {\sin \left( {2\; \pi \; k\; x} \right)}}} \right\rbrack}d\; x}}} \\{= {{\int_{- \infty}^{\infty}{e^{- {ax}^{2}}{\cos \left( {2\; \pi \; k\; x} \right)}d\; x}} - {i\mspace{11mu} {\int_{- \infty}^{\infty}{e^{- {ax}^{2}}{\sin \left( {2\; \pi \; k\; x} \right)}d\; {x.}}}}}}\end{matrix}$

As the second integrand is odd, therefore integration over a symmetricalrange gives 0. Thus:

${{{\mathcal{F}_{x}\left\lbrack e^{- {ax}^{2}} \right\rbrack}(k)} = {\sqrt{\frac{\pi}{a}}e^{{- \pi^{2}}{k^{2}/a}}}},$

As described in further detail below, in some implementations, the PLL203 output is compared against a baseline database of normal values inorder to determine a physical condition of the human body. Referring nowto FIG. 3, FIG. 3 depicts an exemplary diagnostic analysis probe 310 inaccordance with some implementations. Probe 310 is an exemplaryimplementation of probe device 110, of FIG. 1, in which similarlylabeled parts and numbers correspond to similar functionality. As shownin FIG. 3, probe 310 includes VCO 302, PFD 306, charge pump 308,frequency divider 304 and loop filter 310 signal generator. In someimplementations signal generator 318 may include a dual PLL signalgenerator 318 having an operating range of at least 14 GHz. PLL 318generates baseline signal 101.

In some implementations, PLL also generates an identifier, wherein thebaseline signal comprises a first carrier signal corresponding to aprimary baseline signal and a second carrier signal corresponding to theidentifier. Signal generator 318 may utilize a combination of timedivision multiple access (TDMA) and/or orthogonal frequency divisionmultiple access (OFDMA) in order transmit first and second carriersignals as baseline signal 101.

For example, VCO core 321 may receive a reference signal as input (e.g.REF(in)) and may output a first carrier signal corresponding to baselinesignal 101 via output stage 321 and may generate a second carrier signalcorresponding to an identifier, via output stage 322. In someimplementations the second carrier signal may undergo frequency shiftkeying phase shift keying in order to distinguish the identifier signal.As shown in FIG. 3, the first carrier signal and the second carriersignal output by output stage 322, 321 respectively, may be multiplexedinto a single output signal 101. Multiplexing may be accomplishedutilizing TDMA and/or OFDMA protocols. In some implementations, signalgenerator 318 may utilize tiers of frequency multipliers operating atvery high frequency values which come in the category of electromagneticfields which are in the range of 14 GHz and above (e.g. frequencydivider 304).

In some implementations, frequency divider 304 may be placed between theoutput and the feedback input. This may be implemented utilizing adigital counter 330, with the output signal acting as a clock signal.For example, counter 330 may be preset to an initial count value andcounts down at each cycle of the clock signal (CLK). When counter 330reaches zero, counter 330 output changes state and the count value isreloaded. In some implementations, one or more flip-flops and/or dataregisters may complement frequency multiplying and signal divisionfunctionality as shown in FIG. 3. Doing so allows for the ability toeasily interface to other digital components and/or microprocessors.Moreover, the frequency output by signal generator 318 may be controlledby digital systems (e.g. system 100).

In some implementations, frequency divider 304 may include a third orderfractional interpolated 331 for implementing a fractional-N (frac-N) PLLsynthesizer utilizing one or more fractional, integer, and/or modulusregisters 333. Utilizing a frac-N PLL facilitates higher referencefrequency values REF in, which results in a smaller multiplier term N.Also, utilizing a frac-N divider allows step sizes on the order of tensof Hertz. The frac-N also will lock faster when compared to a similarinteger-N PLLs due to the lower value of N, which allows a wider loopfilter bandwidth, which in turn allows a faster lock time. In someimplementations, an SDH (Synchronous Digital Hierarchy) generator usinga dual PLL is used to generate the signal.

As discussed in further detail below, one or more implementationsdescribed herein implement the sending of the baseline signal 101through the cells of the human body and retrieving reflected signal 103.In some implementations, probe device 310 may detect and observe thedifference in the baseline signal 101 that is sent versus reflectedsignal 103. For example, receiver 314 may be able to detect magneticfield perturbations corresponding to at least a portion of the reflectedsignal 103 in an order of magnitude corresponding to one Nano Gauss orsmaller. In some implementations, the observed difference betweensignals 101, 103 is compared to a baseline database of existing normalsignals and signal ranges, which is discussed in further detail below.

In some implementations, signals 101/103 is compared with the type ofmodulation resulting from propagating the input signal through cells ofthe human body. The modulation comparison may include determining andanalyzing a differential generated out of the phase. In someembodiments, distortion is removed from the modulation comparison. Forexample, when the distortion is coming multiple times, the mean of thesignal is taken, the wave is shifted, and the phases are actuallycompared. Each normal signal will depend always based on there a signalthat is identified and earmarked so it is possible to determine whilesending what is the signal and what is the return output (e.g., signal101/103). The return output of each modulated signal including theamplitude of that variation is calculated by shifting the return signaland by calculating Phase.

As discussed above, in some implementations, at FSK/PSK block 324 anidentifier signal may be implemented by utilizing frequency shift key(FSK) or phase shift Key (PSK) signal modulation techniques. Forexample, FSK may implement frequency modulation that assigns bit valuesto discrete frequency levels of baseline signal 101. In someembodiments, FSK may be divided into noncoherent or coherent forms. Innoncoherent forms of FSK, the instantaneous frequency shifts between twodiscrete values termed the “mark” and “space” frequencies. In coherentforms of FSK, there is no phase discontinuity in the output signal. FSKmodulation formats generate modulated waveforms that are strictly realvalues. In contrast, PSK in a digital transmission refers to a type ofangle modulation in which the phase of baseline signal 101 for example,is discretely varied, in relation to a reference phase or to the phaseof the immediately preceding signal element. This is done in order torepresent data being transmitted. For example, in some implementations,when encoding bits, an exemplary PSK phase shift of baseline signal 101could be 0 degree for encoding a “0,” and 180 degrees for encoding a“1,” or the phase shift could be −90 degrees for “0” and +90 degrees fora “1,” thus making the representations for “0” and “1” a total of 180degrees apart.

In some implementations, PSK may be implemented at block 324 so that thecarrier signal may assume only two different phase angles, each changeof phase carries one bit of information, that is, the bit rate equalsthe modulation rate. When the number of recognizable phase angles isincreased to four, then 2 bits of information can be encoded into eachsignal element; likewise, eight phase angles can encode 3 bits in eachsignal element, for example. Thus, by implementing FSK, PSK 324 atdifferent frequencies, baseline signal 101 and corresponding identifiermay include varying different number of frequencies.

Accordingly, in some implementation, signal generator 318 may include adual signal PLL which may emit a baseline signal and the identifier,which is an FSK and/or PSK of the baseline signal. The identifier (notshown) may be an FSK and/or PSK modulated baseline signal 101. Thus,baseline signal 101 and corresponding identifier may include thousandsof different combinations and FSK, PSK can have combinations of multiplefrequency. These values are compared against a baseline database ofnormal data points that have been acquired from intense empiricalresearch and stored in external resources 130, for example.

In some implementations, diagnostic analysis system 100 (FIG. 1), inaccordance with one or more implementations described herein employs ahierarchical paradigm going from body, to systems, to organs, to cellsof the human body. Each frequency itself has an identifier (e.g. FSK/PSKof baseline signal 101), which may correlate to different organs withindifferent systems. In some implementations, the signal processing isdivided based on the resolution through which the signals (e.g.,101/103) are passed.

For example, in some embodiments, input signal 101 may include 3 inputsignals combined into a single carrier signal. System 100 identifiesabnormalities and those issues are defined at the cellular level and/orsystem level. When system 100 identifies issues in a particular organ orsystemic issues, system 100 may render interactivity across organs intraand inter systemically. For example, system 100 identifies cellularissues and also issues within a given process (i.e., extrapolatingupward from the cellular level). For example, when there may be issueswith cardiac and neurology systems or kidney and bladder at the organlevel, or various combinations at different levels.

Once all the parameters are available a user of system 100 may decidehow best to project the parameters. For example, when there is ablockage at the same time the liver has functionality issues thataffects the blood pressure, the data can be viewed by variousspecialists. Based on the aggregate of the data the decision may besimply to remove the blockage. However, this may ignore the etiology ofthe blockage so another specialist may want to address the problem. Withthis 360 degree approach etiology instead of just the manifestation ofthat etiology can be determined and potentially treated. Thus, system100 provides for a truly collaborative approach across multiplespecialties.

Meaning each signal is identified by an identification (a combination ofFSK over PSK and the frequency). This creates not only enough number ofprocesses for analysis its nature keeps enough room for any furthercertain development for a deeper analysis whose variable data is derivedout of the interpolation of the frequency combination of FSK over PSKand the frequency.

In some implementations, microcontroller 316 has dual PLL 318 hard codedinto the microcontroller 316 (e.g., as BIOS, Firmware, and/or softwarestored on memory, not shown). In some implementations, dual PLL 318 alsocontains the Fourier Transform hard coded, as discussed above. In someimplementations, diagnostic analysis system 100 obtains logarithmic data(e.g., utilizing server processors 120) of increasing or decreasingfrequency from the output from a directory of coded references (baselineor norm data for all data points.

Referring now to FIG. 4, FIG. 4 depicts an exemplary baseline signal 101superimposed over reflected signal 103. As shown in FIG. 4, reflectedsignal 103 undergoes an output shift 402 corresponding to a phase shift406 and amplitude shift 404. Utilizing the detected amplitude shift andphase shift of the reflected signal and based on the particular portionof the human body corresponding to the location of probe device 110, thephase to amplitude shift is compared to a database of known values forthe corresponding portion of the human body under analysis. In the humanbody structure, general health at the cellular level may be defined inEMF as eV. A hierarchical structure, discussed in further detail below,applies to cells, organs, systems, and the body. By way of sending ofthe EMF and observing the received pattern (i.e. reflected signal 103) aphysical condition of the human body may be determined.

For example, amplitude 404 may be measured in all data, be it of anycriteria of the human body. The eV of a specific cell would be changedbased on the cell properties. Each cell property has a set frequency atwhich it can have resonance. Thus, a database of electronic resources130 (FIG. 1) may store conditions of the human body, which may includedata corresponding to individual cells of the human body with respect toresonance frequencies of normal and abnormal cellular structures. Thisdata may be obtained through empirical testing utilizing known physicalconditions of the human body as references to establish normal andabnormal value ranges.

In some implementations, in the case of voltage potential differencesacross cells of the human body, an emitted baseline signal 101 undergoesan amplitude modulation, which can be detected in a reflected signal103. As shown in FIG. 4, when potential differences across cells of thehuman body are measured and calculated to provide a value the values maygive different results even if there are several rounds of tests doneover a gap of time, as depicted by 402 due to a noise element that maydistort the complete diagnosis. To avoid this, an algorithm is put inplace as soon as the amplitude modulation comes as shown in FIG. 4 (i.e.depicting amplitude 404 to phase shift 406).

Referring now to FIG. 5, in conjunction with FIGS. 1-5. FIG. 5 depicts aschematic representation of a diagnostic system 500, which is anexemplary implementation of diagnostic analysis system 100, in whichsimilarly labeled parts and numbers correspond to similar functionality.Diagnostic system 500 may include probe device 110 in communication withprocessors 120. As shown, probe device 110 may be implemented byscanning probe device 110 over a human body 501.

In some embodiments, probe device 110 may include signal generator (e.g.118 shown in FIG. 1) and may generate, by the signal generator, abaseline signal. System 500 may emit, by the emitter 112 (shown in FIG.1), the baseline signal through one or more cells 503 of the human bodyover a plurality of scanning points 505 (a, b, c, d, e) for apredetermined amount of time. In some embodiments, the predeterminedamount of time may be about 100 seconds, or less (for example). In someembodiments, the signal may include an identifier which may include FSKand/or PSK of baseline signal 101, as discussed above. The identifier inconjunction with baseline signal 101 may be used to increase theaccuracy of detecting magnetic perturbations corresponding caused bycells 503, which is discussed in further detail below.

As shown in FIG. 5, human body 501 may include human body systems 505.Human body systems 505 may include major organ systems (e.g., eleven) inthe human body, which include the circulatory, respiratory, digestive,excretory, nervous and endocrine, immune, integumentary, skeletal,muscle and reproductive systems for example. For simplicity, FIG. 5illustrates lymphatic immune system 505 a, circulatory system 505 b,respiratory system 505 c, musculature system 505 d, skeletal system 505e and organs 502. As shown in FIG. 5, organs 502 include human bodycells 503. While FIG. 5 depicts a single cell 503, exemplaryimplementations described herein utilize probe device 110 to detect aplurality of cells 503 throughout the entirety of human body 501.Detecting human body cells 103 may include detecting chemical andchemically bonded structures (e.g. electrolytes, RNA, DNA, and the like,not shown in FIG. 5), via magnetic perturbations by said cells and cellstructures. Discussed in further detail below, each human body cell 503of human body 501 may emit a resonant frequency 504. The aggregate ofthe frequencies throughout all cells 503 all correspondence body systems505 generate electromagnetic (EM) pulses and correspond to EM fields asshown in FIG. 5.

For example, as human body 501 is the aggregate of all cells 503, whichare in a continuous cycle of growth, physical conditions of the humanbody may be observed by analyzing the electromagnetic pulses and fields507 generated by the aggregate of all cells 503. By emitting anelectromagnetic wave (e.g., signal 101) with dynamic frequency rangingnear 14 GHz or more (for example), probe device 110 may excite cells 503when a frequency range of signal 101 corresponds to a resonatingfrequency of cells 503 and/or cell structures. For example, cells 503and structures within cells 503 (e.g. RNA, DNA and the like, not shown)may emit EM pulses 507 at specific resonance frequencies that interact,via constructive wave properties, with particular frequencies ofbaseline signal 101.

Due to constructive and deconstructive wave properties of EM wavepropagation, EM field and impulses 507 may interact with reflectedsignals 103. As reflected signal 103 have propagated through all cells503 and human body systems 505, as shown in FIG. 5, magneticperturbations caused by cells 503 can be observed. For example,electromagnetic pulses 507 emitted by cells 503 and correspondingmagnetic perturbations caused by interaction of pulses 507 withreflected signal 507 provide observations of the physical condition ofcells and/or the human body. In this manner observations of the physicalcondition of the human body may be quantized and deduced by comparisonof empirical data derived from known conditions of cells and/or thehuman body.

Cells 503 of human body 501 include development, differentiation,regeneration, and apoptosis with other cells 503 and are constantlyrenewing through cellular division. For example, cells 503 may includeblood cells of circulatory system 505 b. Blood cells 503 may renew at arate of about 100 million per minute, for example. During the process ofcellular division and growth, the electrically charged bodies of atomicnuclei (not shown), which constitute the basic unit of cell 503, and theelectrons outside the nucleus, are in a constant state of high-speedmovement and flux. An accelerating electrically charged particle (e.g.an electron) emits electromagnetic pulses of particular frequency waves(e.g., a resonance frequency of the particular cell).

As shown in FIG. 5, electromagnetic wave signals 504 of cells 503 areemitted by each and every human cell within all system 505 throughouthuman body 501. Diagnostic analysis system 500 may receive, by thereceiver 114 (FIG. 1), one or more reflected signals that havepropagated through the one or more cells 503 of the human body 501. Theemitted electromagnetic wave signals 504, 507 of cells 503 and humanbody system 505 vary under different conditions such as normal,sub-clinical (e.g. prediabetic), or diseased, for example. Thus, whenthese specific electromagnetic wave signals 504, 507 are evaluated viareflected signal 103, signals 504, 507 can be measured and can determinethe numerous values seen in any given diagnostic analysis of the humanbody for both normal values and abnormal values, for example, values ofresults may correspond to RBC, Bone density, Testosterone, and the like.

For example, evaluation of signals 103, 504, 507 may, in someimplementations, be implemented determining, utilizing processors 120, apower spectral density (PSD) of the reflected baseline signal 103.Processors 120 may determine a spectral variance in the PSD of thereflected baseline signal 103 relative to baseline signal 101. In doingso magnetic perturbations caused by abnormal cells can be observed andidentified. In some implementations, baseline signal 101 includesidentifier, which may be utilized for further signal identificationpurpose.

In some implementations, diagnostic analysis system 100, 500 maycompare, by the one or more processors, the spectral variance to one ormore predetermined spectral variances corresponding to one or moreconditions of the human body. Predetermined spectral variancescorresponding to one or conditions of the human body have beenempirically deduced through copious testing and research. For example,by way of empirical research and testing, external resources 130 mayinclude a database corresponding to conditions of the human body andknown spectral variances corresponding to such conditions. For example,abnormal values for signal 504 arise when the spin and orbit ofelectrons outside the atomic nucleus of cell 504 change, thereby causingthe change of atoms constituting a change of small biomolecules andlarge biomolecules, thus changing cell 503 and thus impacting the organ502.

Because the electron is a charged body, when the spin of electronsoutside the atomic nucleus and orbit change, the electromagnetic wave504, 507 emitted by the atoms that comprise cell 503 and body systems505 will change. The energy of the electromagnetic wave changes causedby abnormal values (i.e. illness) is substantially meniscal anddifficult to detect, occurring at the Micro Gauss or Nano Gauss level.Accordingly, receiver 314 may be configured for detecting magnetic fieldperturbations corresponding to at least a portion of the reflectedsignal 103 in an order of magnitude corresponding to one Nano Gauss aresmaller. Thus, by comparison of the spectral variances, and specificallythe amplitude to phase variances, to the one or more predeterminedspectral variances, one or more implementations described herein maydetermine a condition of the human body, based on the comparison of thespectral variances. For example, conditions of the human body mayinclude conditions typically evaluated using tests such as CMP,urinalysis, glucose testing, a lipid panel, heart rate, heart ratevariability, insulin tests, toxicology tests, oxygenation monitoring,and the like.

In some implementations, a frequency and energy of this magnetic fieldcaused by abnormal conditions in cells may be determined by holdingprobe device 110 over cell 503 for a predetermined amount of time (e.g.100 seconds). The received data may be compared with the resonance andfrequency spectra of a standard cells having known atomic structures andelectromagnetic measurement values (e.g., determined through empiricaltesting). For example, determining the spectral variance in the PSD mayinclude determining amplitude and phase shift of the reflected signalrelative to the baseline signal. In some implementations, whether anormal or abnormal value is measured, each frequency spectrum generatedthat backpropagates to probe device 110 shows the difference in thechange in amplitude and in phase. This may be determined by analyzing apower spectrum density (PSD) of the frequency spectrum generated andreceived back by probe 110, as discussed above.

In some implementations, comparing the baseline signal 101 withreflected signal 103 may include leveling an amplitude and correcting aphase shift. This may provide the value (normal or abnormal) at thecellular level (e.g., cell 503), with this cellular level pattern inturn deducing values at organ 502 and at the systemic level 505 (e.g.systems 505 a-e) and any interconnectivity therein. For example,processors 120 (FIG. 1) may be configured to examine any and allchemical, cellular, organ, and/or systemic data points individually, andas a whole, to discern the impact and determine values for diagnosticcollection.

In some implementations, a quantum of normal and abnormal values sensedand “collected” by probe device 110 are processed by processors 120implementing a multi-algorithmic system. For example, in someimplementations, amplitude and phase data of modulated signals may beinput into multiple and analyzed on multiple layers. System 100 mayprobe and analyze areas that are common to multiple body/organ systemsand independently expose each system and create an output where severalspecialists may be involved. Positive quantum values indicate normalbody conditions, and negative quantum values indicate abnormal bodyconditions. The size of the quantum value indicates the value orintensity of the normal or abnormal conditions. For example, conditionsof the body may include viscosity of blood, and tensile strength ofblood vessels and heart chambers itself, heart rate, heart ratevariability, and the like.

In some implementations, cells 503 may include cancer cells, forexample. Cancer cells' atomic structure may differ from normal healthycells, and the electromagnetic waves emitted by cancer cells also differfrom the electromagnetic waves emitted from normal cells. Based on thebaseline resonance spectra, which has been previously determined throughempirical testing and stored in electronic resources 130, for example,when there are cancer cells present in body 501 abnormal resonance willoccur and probe device 110 and/or processors 120 will detect theabnormal signal emitted by cancer cells. The greater the number ofcancer cells the more intense the abnormal signal will be (e.g., thequantum value of the abnormal signal will be more negative). If thereare no cancer cells, resonance outside of baseline frequencies will notoccur, and the quantum value will tend to be positive. In someimplementations results are viewed by clinicians for a recommendation ofnext steps (e.g., treatment, additional tests, etc.).

In some implementations diagnostic analysis is the 500 may examine allcellular structures and compartments of all cells in human body 501. Forexample, in some implementations diagnostic analysis system 500 mayexamine all 79 organs of the human body 501 and all 11 systems of thehuman body (e.g., Circulatory, Digestive, Endocrine,Integumentary/Exocrine, Lymphatic/Immune, Muscular, Nervous, Excretory{Renal and Urinary}, Reproductive, Respiratory, and Skeletal). In someimplementations, processors 120 (FIG. 1) may implement interconnectivitydiagnostic analysis wherein system 100 examines any and all chemical,cellular, organ, and/or systemic data points individually and as a wholeto discern the impact and determine values for diagnostic collection toabnormal (e.g. a value range from normal to abnormal for ALP).

As discussed above, in some implementations, server processors 120 mayinclude interconnectivity functionality that examiners any and allchemical, cellular, organ, and/or systemic data points individually andas a whole to discern the impact and determine values for diagnosticcollection. In some implementations, upon determining that there areabnormal conditions of the human body based on comparison of spectralvariances, diagnostic analysis system 500 may transmit a reportindicating the detected conditions of the human body to a clinicianand/or other users.

Referring now to FIG. 6, FIG. 6 depicts a method in accordance with oneor more implementations described herein. The operations of method 600presented below are intended to be illustrative. In someimplementations, method 600 may be accomplished with one or moreadditional operations not described, and/or without one or more of theoperations. Additionally, the order in which the operations of method600 are illustrated in FIG. 6 and described below is not intended to belimiting.

As shown in FIG. 6, at an operation 602, a baseline signal is generatedby the signal generator. Operation 602 is performed by a signalgenerator the same or similar to signal generator 118 of FIG. 1.

At an operation 604, the baseline signal may be emitted through one ormore cells of the human body over a plurality of scanning points for apredetermined amount of time. Operation 604 is performed by an emitterthe same or similar to emitter 112 of FIG. 1.

At an operation 606, one or more reflected signals that have propagatedthrough the one or more cells of the human body may be received.Operation 606 is performed by a receiver the same or similar to receiver114 of FIG. 1.

At an operation 608, a power spectrum density (PSD) of the reflectedbaseline signal may be determined. Operation 608 is performed byprocessors the same or similar to server processors 120 of FIG. 1

At an operation 610, a spectral variance in the PSD of the reflectedbaseline signal relative to the baseline signal may be determined.Operation 610 is performed by processors the same or similar to serverprocessors 120 of FIG. 1.

At an operation 612, the spectral variance may be compared to one ormore predetermined spectral variances corresponding to one or moreconditions of the human body. Operation 612 is performed by processorsthe same or similar to server processors 120 of FIG. 1

At an operation 614, one or more conditions of the human body may bedetermined, based on the comparison. Operation 614 is performed byprocessors the same or similar to server processors 120 of FIG. 1.

At an operation 616, a report indicating the condition of the human bodymay be transmitted to a clinician and/or other users. Operation 616 isperformed by processors the same or similar to server processors 120 ofFIG. 1

In the claims, any reference signs placed between parentheses shall notbe construed as limiting the claim. The word “comprising” or “including”does not exclude the presence of elements or steps other than thoselisted in a claim. In a device claim enumerating several means, severalof these means may be embodied by one and the same item of hardware. Theword “a” or “an” preceding an element does not exclude the presence of aplurality of such elements. In any device claim enumerating severalmeans, several of these means may be embodied by one and the same itemof hardware. The mere fact that certain elements are recited in mutuallydifferent dependent claims does not indicate that these elements cannotbe used in combination.

Although the description provided above provides detail for the purposeof illustration based on what is currently considered to be the mostpractical and preferred implementations, it is to be understood thatsuch detail is solely for that purpose and that the disclosure is notlimited to the expressly disclosed implementations, but, on thecontrary, is intended to cover modifications and equivalent arrangementsthat are within the spirit and scope of the appended claims. Forexample, it is to be understood that the present disclosure contemplatesthat, to the extent possible, one or more features of any implementationcan be combined with one or more features of any other implementation.

What is claimed is:
 1. A system for providing diagnostic analysis of aphysical condition of a human body, the system comprising: a signalgenerator; an emitter; a receiver; and one or more processors incommunication with a memory having non-transitory computer readableinstructions stored thereon, that when executed by the one or moreprocessors cause the system to: generate, by the signal generator, abaseline signal; emit, by the emitter, the baseline signal through oneor more cells of the human body over a plurality of scanning points fora predetermined amount of time; receive, by the receiver, one or morereflected signals that have propagated through the one or more cells ofthe human body; determine, by the one or more processors, a powerspectrum density (PSD) of the reflected baseline signal; determine, bythe one or more processors, a spectral variance in the PSD of thereflected baseline signal relative to the baseline signal; compare, bythe one or more processors, the spectral variance to one or morepredetermined spectral variances corresponding to one or more conditionsof the human body; determine, by the one or more processors, thecondition of the human body, based on the comparison; and transmit areport indicating the condition of the human body to a clinician.
 2. Thesystem of claim 1, wherein determining the spectral variance in the PSDcomprises determining an amplitude and phase shift of the reflectedsignal relative to the baseline signal.
 3. The system of claim 1,wherein the signal generator, the emitter, and the receiver comprise awireless handheld device.
 4. The system of claim 1, wherein the emitterand the receiver are coupled to a dielectric.
 5. The system of claim 1,wherein the signal generator comprises a dual phase lock loop (PLL)clock generator having an operating range of at least 14 GHz.
 6. Thesystem of claim 1, wherein the predetermined amount of time is no morethan 100 seconds.
 7. The system of claim 1, wherein the baseline signalcomprises a first carrier signal corresponding to a primary baselinesignal and a second carrier signal corresponding to an identifier. 8.The system of claim 6, wherein the identifier comprises a frequencyshift key (FSK) and phase shift key (PSK) of the baseline signal.
 9. Thesystem of claim 1, wherein the plurality of scanning points comprises atleast 2 billion data points.
 10. The system of claim 1, wherein thereceiver is configured to detect magnetic field perturbationscorresponding to at least a portion of the reflected signal in an orderof magnitude corresponding to one Nano Gauss or smaller.
 11. The systemof claim 1, wherein the one or more processors comprise a remotecomputing device having a display.
 12. The system of claim 1, whereintransmitting the report comprises rendering on the display at least oneof: an indication of the PSD of the reflected baselines, an indicationof the spectral variance, and/or an indication of the determinedcondition of the human body on the display.
 13. A method for providingdiagnostic analysis of a physical condition of a human body utilizing asystem comprising: a signal generator, an emitter, a receiver, and oneor more processors in communication with a memory having non-transitorycomputer readable instructions stored thereon, that when executed by theone or more processors cause the system to execute the method, themethod comprising: generating, by the signal generator, a baselinesignal; emitting, by the emitter, the baseline signal through one ormore cells of the human body over a plurality of scanning points for apredetermined amount of time; receiving, by the receiver, one or morereflected signals that have propagated through the one or more cells ofthe human body; determining, by the one or more processors, a powerspectrum density (PSD) of the reflected baseline signal; determining, bythe one or more processors, a spectral variance in the PSD of thereflected baseline signal relative to the baseline signal; comparing, bythe one or more processors, the spectral variance to one or morepredetermined spectral variances corresponding to one or more conditionsof the human body; determining, by the one or more processors, thecondition of the human body, based on the comparison; and transmitting areport indicating the condition of the human body to a clinician. 14.The method of claim 13, wherein determining the spectral variance in thePSD comprises determining an amplitude and phase shift of the reflectedsignal relative to the baseline signal.
 15. The method of claim 13,wherein the signal generator, the emitter, and the receiver comprise awireless handheld device.
 16. The method of claim 13, wherein theemitter and the receiver are coupled to a dielectric.
 17. The method ofclaim 13, wherein the signal generator comprises a dual phase lock loop(PLL) clock generator having an operating range of at least 14 GHz. 18.The method of claim 13, wherein the predetermined amount of time is nomore than 100 seconds.
 19. The method of claim 13, wherein the baselinesignal comprises a first carrier signal corresponding to the baselinesignal and a second carrier signal corresponding to an identifier. 20.The system of claim 19, wherein the identifier comprises a frequencyshift key (FSK) and phase shift key (PSK) of the baseline signal. 21.The method of claim 13, wherein the plurality of scanning pointscomprises at least 2 billion data points.
 22. The method of claim 13,wherein the receiver is configured to detect magnetic fieldperturbations corresponding to at least a portion of the reflectedsignal in an order of magnitude corresponding to one Nano Gauss orsmaller.
 23. The method of claim 13, wherein the one or more processorscomprise a remote computing device having a display.
 24. The method ofclaim 13, wherein transmitting the report comprises rendering on thedisplay at least one of: an indication of the PSD of the reflectedbaselines, an indication of the spectral variance, and/or an indicationof the determined condition of the human body on the display.